Introduction to 6G and the Future of Wireless Networks Training Course

Introduction to 6G: Vision and Drivers

• Historical context: from 1G to 6G, including key inflection points
• Strategic drivers: latency reduction, increased capacity, enhanced reliability, and the integration of pervasive artificial intelligence (AI)
• High-level timeline and key stakeholders in development

From 5G to 6G: Key Differences and Evolution

• Limitations of 5G that 6G aims to overcome
• Transition toward AI-native networks and distributed intelligence
• Integration of sensing, communication, and control functions

Enabling Technologies

• Terahertz (THz) communications and associated propagation challenges
• Reconfigurable Intelligent Surfaces (RIS) and advanced antenna systems
• Evolution of Massive MIMO, full-duplex radios, and photonics integration
• Network AI, distributed learning, and intent-driven network orchestration

Spectrum, Standards, and Policy Considerations

• Spectrum requirements for 6G and international coordination issues
• Roles of standards bodies, research initiatives, and public–private partnerships
• Regulatory implications for privacy, coexistence, and safety in the context of 6G deployment

Architectures and Cloud-Native Network Design

• Edge, fog, and cloud continuum to support 6G services for government and other sectors
• Service-based architectures, network slicing, and programmable infrastructure
• Interoperability with legacy systems and multi-cloud environments

Use Cases and Industry Verticals

• Extended reality (XR), holographic communications, and immersive collaboration for government operations
• Industry 4.0, digital twins, and the tactile internet for advanced manufacturing
• Autonomous systems, vehicle-to-everything (V2X) communication, and mission-critical mobility solutions
• Smart cities, healthcare applications, and environmental sensing technologies

Security, Privacy, and Ethical Considerations

• Threat models for ultra-connected systems and supply-chain risks in 6G networks
• Data governance frameworks, privacy-preserving communications, and trust mechanisms
• Ethical and societal implications of pervasive sensing and AI in government applications

Deployment Challenges and Business Impact

• Infrastructure investments, business models, and total cost of ownership for 6G deployment
• Interoperability issues, vendor ecosystems, and risks associated with vendor lock-in
• Skills development, organizational readiness, and change management strategies for government agencies

Workshop: Organizational 6G Readiness and Roadmap

• Identifying priority use cases and pilot opportunities for government operations
• Assessing gaps in infrastructure, skills, and data readiness within governmental organizations
• Drafting a 6–18 month pilot plan and stakeholder engagement strategy for government entities

Summary and Next Steps